Analysis of the status of leprosy symptom surveillance in Guangdong province: an exploring effort to promote early detection

Our findings indicate that the leprosy symptom surveillance program in Guangdong Province has effectively reduced delayed discovery time, particularly patients delayed discovery time in seeking medical care, thereby facilitating early detection of leprosy cases.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2025-08-16
DOI
https://doi.org/10.1186/s12889-025-24164-3
Primary Topic
Leprosy Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the status of leprosy symptom surveillance in Guangdong province: an exploring effort to promote early detection

Hang Xue, Jing Wang, Cheng Wang, Xiao Hua Wang et al.
BMC Public Health
Leprosy Research and Treatment
article

Analysis of the status of leprosy symptom surveillance in Guangdong province: an exploring effort to promote early detection

Hang Xue, Jing Wang, Cheng Wang, Xiao Hua Wang, Lei Chen, Quan Luo
article en

Abstract

Our findings indicate that the leprosy symptom surveillance program in Guangdong Province has effectively reduced delayed discovery time, particularly patients delayed discovery time in seeking medical care, thereby facilitating early detection of leprosy cases.

BMC Public HealthVol. 25(1)
Shenzhen Nanshan Center for Chronic Disease Control (CN), Southern Medical University (CN)
Openalex Percentile: Top 74%
Leprosy Research and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.